Sikander Ali | Mathematics | Young Scientist Award

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Mr. Sikander Ali | Mathematics | Young Scientist Award

Research Associate | Riphah International University | Pakistan

Mr. Sikander Ali is a Research Associate at Riphah International University and a mathematician specializing in graph theory, network modeling, and applied mathematical structures. His academic background includes advanced degrees in mathematics with strong specialization in graph theory, numerical analysis, differential equations, and cryptographic models, supported by thesis research on nano-network resolvability and elliptic curve cryptography. Professionally, he contributes to theoretical research through rigorous literature analysis, development of mathematical models, and collaborative research projects, while actively supporting scholarly writing, simulations, and dissemination of findings. His research focuses on distance-based graph invariants, nano-scale network analysis, metric and partition dimensions, and fault-tolerant graph parameters, with multiple novel definitions and studies submitted for publication and cited within the research community. His work demonstrates originality, analytical depth, and growing academic impact, reflected through peer recognition, citations, and ongoing research contributions, highlighting strong potential for future leadership and excellence in mathematical research and innovation.

Citation Metrics (Google Scholar)

60
45
30
15
0

60

11

5

Citations

Documents

h-index


Top 5 Featured Publications

 

Engin Özkan | Mathematics | Research Excellence Award

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Prof. Dr. Engin Özkan | Mathematics | Research Excellence Award

Head of the Department Of mathematics | Marmara University | Turkey

Prof. Dr. Engin Özkan is a Professor of Mathematics at Marmara University and an established researcher in algebra and number theory, with particular expertise in number sequences and group structures. He holds undergraduate and graduate degrees in mathematics, culminating in doctoral specialization on Fibonacci-type sequences in finite nilpotent groups. His professional experience spans academic appointments at leading institutions, international research engagement, and sustained leadership in graduate education through the supervision of multiple doctoral theses on generalized number sequences, polynomials, and related algebraic applications. His research focuses on Fibonacci, Narayana, Gaussian, and related number sequences, their algebraic properties, polynomial representations, and applications within group theory and number theory, resulting in a substantial body of peer-reviewed publications with strong citation impact. His scholarly contributions demonstrate methodological depth, continuity, and originality, reflected in a solid h-index and i10-index. He is recognized for advancing sequence theory, mentoring emerging researchers, and contributing to the mathematical research community through sustained academic productivity and international visibility.

Citation Metrics (Google Scholar)

1272
1000
700
300
0

1272

45

21

Citations

i10-index

h-index


Featured Publications

 

Makhmud Bobokandov | Mathematics | Young Scientist Award

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Dr. Makhmud Bobokandov | Mathematics | Young Scientist Award

Researcher | National University of Uzbekistan Uzbekistan

Dr. Bobokandov Makhmud is a Senior Lecturer and Researcher in applied mathematics and computational analysis, specializing in mathematical modeling and numerical methods. He holds undergraduate and postgraduate degrees in applied mathematics, information technologies, and mathematical simulations, with doctoral-level specialization in diffusion processes and nonlinear parabolic equations. His professional experience spans academic teaching, research leadership, and participation in nationally funded research projects, including roles as senior and junior researcher on large-scale fundamental grants. His research focuses on nonlinear physical processes, qualitative analysis of differential equations, self-similar solutions, numerical simulations, and data analysis, with published scholarly contributions cited across multiple peer-reviewed works. He has contributed to advancing applied mathematical modeling through interdisciplinary approaches integrating computation and programming. His achievements include competitive national scholarships, government-recognized research funding, and awards for academic excellence. He has further strengthened his expertise through internationally recognized certifications in data analysis, machine learning, scientific computing, and programming, demonstrating sustained commitment to research excellence, academic leadership, and future innovation potential.

Citation Metrics (Scopus)

49
40
30
20
10
0

Citations

49

Documents

12

h-index

4

Citations

Documents

h-index


Top 5 Featured Publications

 

Jiawen Ye | Mathematics | Best Researcher Award

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Ms. Jiawen Ye | Mathematics | Best Researcher Award

Undergraduate at China University of Geosciences(Beijing), China

Jiawen Ye is an ambitious third-year undergraduate student majoring in Mathematics and Applied Mathematics at the China University of Geosciences (Beijing). Her research focuses on time series analysis, mathematical modeling, and environmental protection, particularly water resource management and pollution control. She has co-authored two research articles in reputable journals, demonstrating her ability to apply advanced models such as SSA-CNN-Transformer-BiLSTM and ARIMA in forecasting wastewater flow. Jiawen has shown leadership in innovation, leading a nationally recognized College Students’ Innovation and Entrepreneurship Project. Her participation in the American Mathematical Contest in Modelling and various extracurricular roles highlights her versatility and commitment to excellence. She expresses deep gratitude to her mentor, Professor Haiying Wang, whose guidance has been instrumental in her development as a researcher. Jiawen’s academic achievements, coupled with her passion for solving real-world problems through mathematics, position her as a promising young scholar with significant potential in scientific research.

Professional Profile 

ORCID Profile 

Education

Jiawen Ye is currently pursuing her undergraduate studies at the China University of Geosciences (Beijing), majoring in Mathematics and Applied Mathematics. As a third-year student, she has demonstrated a strong academic foundation in both theoretical and applied mathematics, preparing her to tackle complex problems in interdisciplinary domains. Her educational journey reflects a balance between rigorous academic coursework and active engagement in research, which is rare at the undergraduate level. Jiawen’s mathematical training has been central to her growth as a young researcher, enabling her to develop models and predictive algorithms that address real-world challenges, especially in environmental science. Her ability to publish in peer-reviewed journals during her undergraduate studies is a testament to her academic maturity and determination. With access to a research-supportive academic environment and mentorship from distinguished faculty such as Professor Haiying Wang, Jiawen’s education has laid a solid groundwork for a future in advanced research and innovation.

Professional Experience

Although still an undergraduate, Jiawen Ye has acquired substantial research and leadership experience that mirrors early professional maturity. She led a nationally rated College Students’ Innovation and Entrepreneurship Project in 2024, which was recognized for its outstanding contribution. This leadership role involved project planning, research design, data analysis, and presentation—skills typically expected at a graduate or early-career researcher level. Jiawen also contributed as a judge in a university singing competition and served as director of her college’s literary department, organizing large-scale student events. These experiences reflect not only her strong organizational and evaluative skills but also her ability to manage diverse teams and responsibilities. Furthermore, her participation in high-level academic competitions like the American Mathematical Contest in Modelling (MCM) has honed her collaborative research and analytical problem-solving skills. While she does not yet have formal employment, her portfolio of research projects and leadership roles demonstrates strong professional readiness for future academic or industry research positions.

Research Interest

Jiawen Ye’s research interests lie at the intersection of mathematics, environmental science, and artificial intelligence. Her core focus includes time series analysis, mathematical modeling, and environmental protection. She has a keen interest in using advanced predictive models to forecast and manage water pollution and wastewater flow—critical issues in sustainable development. Her work integrates classical statistical methods like ARIMA with modern deep learning techniques, including CNN, Transformer, and BiLSTM architectures, to enhance forecasting accuracy. This blend of disciplines shows her aptitude for applying mathematical theories to practical, impactful problems. Moreover, her choice of research topics reflects a strong awareness of global environmental challenges and the role of data-driven solutions in addressing them. Jiawen’s interdisciplinary curiosity and capability make her research uniquely valuable, particularly in the emerging field of environmental informatics. Her scholarly output at such an early stage of her academic career speaks volumes about her commitment to research and scientific inquiry.

Award and Honor

Jiawen Ye has earned several honors that reflect her multifaceted talents and determination. Academically, she led a project in the 2024 College Students’ Innovation and Entrepreneurship Competition that earned a prestigious national-level “outstanding” rating. She also competed in the American Mathematical Contest in Modelling (MCM), showcasing her ability to apply mathematical thinking in real-world contexts. Outside academia, she received second prize in both the Ironman Triathlon (2025) and the Capital Universities Swimming Competition (2024), demonstrating resilience, discipline, and physical endurance. Her leadership roles in college—particularly as director of the literary department—and her judging role in university cultural competitions show a well-rounded character and excellent interpersonal skills. Additionally, her participation in the recording of the nationally televised Chinese Spring Festival Gala in 2019 reflects strong communication and public engagement abilities. These diverse achievements underscore her potential as a holistic leader in both academic and professional environments.

Conclusion

Jiawen Ye is an exceptional undergraduate student whose academic, research, and extracurricular achievements position her as a promising young researcher. Her early contributions to environmental data modeling, particularly in forecasting wastewater flow using hybrid AI techniques, reflect a sophisticated understanding of both theory and application. Despite being in the early stages of her academic journey, she has published two peer-reviewed articles, led a nationally recognized innovation project, and participated in high-level mathematical competitions. Her strong foundation in mathematics, combined with her passion for environmental protection and emerging technologies, signals a bright future in research and scientific leadership. Jiawen’s ability to balance academic excellence with extracurricular involvement and leadership roles showcases her as a well-rounded, driven, and impactful individual. With continued mentorship and research opportunities, she is well on track to make significant contributions to both academic and societal advancements. Jiawen Ye is a standout candidate for awards and further academic recognition.

Publications Top Notes

  • Title: ARIMA-Based Forecasting of Wastewater Flow Across Short to Long Time Horizons

  • Title: Enhancing Sewage Flow Prediction Using an Integrated Improved SSA-CNN-Transformer-BiLSTM Model

Kennedy Mensah | Mathematics | Best Researcher Award

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Mr. Kennedy Mensah | Mathematics | Best Researcher Award

PhD. Candidate at Kwame Nkrumah University of Science andTechnology, Ghana

Kennedy Mensah is a dedicated and rapidly emerging researcher in applied mathematics, specializing in mathematical biology, tumor-immune modeling, infectious disease dynamics, and computational fluid dynamics. Currently pursuing a PhD at Kwame Nkrumah University of Science and Technology, he serves as an Assistant Lecturer at the University of Energy and Natural Resources. Kennedy has authored and co-authored several peer-reviewed publications in high-impact journals, reflecting his commitment to addressing real-world health and biological challenges through mathematical modeling. His work demonstrates strong interdisciplinary collaboration and practical relevance, with a research portfolio that spans optimal control theory, partial differential equations, and epidemiological modeling. Recognized through prestigious scholarships such as the GNPC Postgraduate and Barclays Tertiary Awards, Kennedy also brings valuable teaching experience and has contributed to national data collection initiatives. His academic achievements, coupled with his research productivity and passion for knowledge dissemination, mark him as a promising candidate for recognition as a Best Researcher.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Kennedy Mensah’s academic journey reflects a strong foundation in mathematical sciences and a continuous pursuit of academic excellence. He is currently a PhD candidate in Applied Mathematics at Kwame Nkrumah University of Science and Technology (KNUST), where he is deepening his expertise in mathematical modeling and computational analysis. He earned his Master of Philosophy (MPhil) in Applied Mathematics from the University of Energy and Natural Resources (UENR) with distinction, graduating with a CGPA of 3.68/4.0. Prior to that, he obtained a Bachelor of Science degree in Mathematics from UENR, finishing with a Second Class Upper Division and a CGPA of 3.58/4.0. His foundational education was at Tamale Senior High School, where he pursued General Arts with a strong emphasis on analytical subjects. This robust academic background has equipped him with critical thinking, analytical reasoning, and advanced problem-solving skills necessary for tackling complex real-world challenges through mathematics.

Professional Experience

Kennedy Mensah has accumulated diverse and impactful professional experience primarily centered around academia, research, and national development initiatives. He currently serves as an Assistant Lecturer at the University of Energy and Natural Resources, where he teaches undergraduate courses in differential equations, statistics, and algebra, among others. His academic career began as a Teaching Assistant and later as a Graduate Assistant, contributing to both instruction and research activities. Additionally, Kennedy has played key roles in national statistical projects, such as the 2023 Integrated Business Establishment Survey and the 2021 Population and Housing Census, where he served as a Field Supervisor and Regional Trainer. These roles highlight his leadership, organizational, and data handling skills. His previous teaching internships and outreach programs at senior high schools further reflect a deep commitment to education and community service. Kennedy’s career trajectory illustrates a balance of research, teaching, and applied service, making him a well-rounded academic professional.

Research Interest

Kennedy Mensah’s research interests lie at the intersection of mathematics and biology, focusing on the use of mathematical models to address critical health and biological phenomena. His primary areas include tumor-immune interaction modeling, continuum modeling of breast cancer, and the mathematical study of breast cancer immunotherapy using spatio-temporal analysis. He also explores optimal control theory and partial differential equations as applied to biological systems, with additional interests in computational biology, infectious disease modeling, and computational fluid dynamics. His work aims to provide quantitative insights into disease progression, treatment strategies, and epidemic control. Kennedy’s multidisciplinary research approach bridges mathematics, health sciences, and computational techniques, enabling him to develop models that are not only theoretically rigorous but also practically applicable. His commitment to mathematical biology and public health demonstrates a passion for using analytical tools to solve real-world problems, with potential impacts in medicine, epidemiology, and environmental health.

Award and Honor

Kennedy Mensah has been recognized for his academic excellence and research potential through several prestigious scholarships and awards. Notably, he received the GNPC Postgraduate Scholarship (2019–2021), awarded to outstanding graduate students in Ghana, which supported his MPhil studies in Applied Mathematics. He also earned the Barclays Tertiary Scholarship (2017–2018), a competitive award for academically strong and financially needy students, and was a recipient of the Mathematics, Science, and Technology Scholarship Scheme (MASTESS) (2016–2017), which supports students excelling in STEM disciplines. These honors reflect not only his strong academic performance but also recognition of his potential to contribute meaningfully to science and society. Kennedy’s ability to secure competitive scholarships from multiple institutions underscores his determination, intellectual merit, and commitment to academic growth. These accolades have played a significant role in supporting his education and research, enabling him to focus on developing high-impact solutions through applied mathematics.

Conclusion

Kennedy Mensah is a driven and innovative researcher with a firm grounding in applied mathematics, a growing record of academic publications, and a deep commitment to using mathematical tools for solving pressing health and societal issues. His journey from undergraduate studies through to a PhD candidacy reflects consistent academic excellence and intellectual growth. With strong experience in teaching, research collaboration, and national survey supervision, Kennedy exemplifies the qualities of a rising academic leader. His interdisciplinary research, especially in mathematical biology and disease modeling, addresses critical areas in public health and biomedical science. Recognized through competitive scholarships and engaged in impactful national initiatives, he has demonstrated both scholarly promise and societal relevance. Kennedy’s blend of technical skill, academic rigor, and community involvement positions him as an outstanding candidate for the Best Researcher Award. His future prospects in academia and research are promising, and he is poised to make lasting contributions in his field.

Publications Top Notes

  • Title: Stability analysis and optimal control strategies of Q fever transmission dynamics in Ghana’s Tropical Grassland
    Authors: Dominic Otoo, Kennedy Mensah, Eugene Adjei, Baaba Abassawah Danquah, Hawa Adusei, Razak Gbemmie Chuaya
    Year: 2025
    Citation: Modeling Earth Systems and Environment, DOI: 10.1007/S40808-025-02341-Y

  • Title: Transmission dynamics of yellow fever with toxic infected population
    Authors: Elvis Kobina Donkoh, Baaba Abassawah Danquah, Francois Mahama, Dauda Musah, Francis Tuffour, Kennedy Mensah, Kwame Kyei Danquah
    Year: 2025
    Citation: Communications in Mathematical Biology and Neuroscience, DOI: 10.28919/cmbn/9036

  • Title: Modeling the spatiotemporal dynamic heterogeneity of pre-synthetic stage breast cancer tumor-immune interactions
    Authors: Kennedy Mensah, Joseph Abeiku Ackora-Prah, Dominic Otoo, Atta Kwame Gyamfi
    Year: 2025
    Citation: Partial Differential Equations in Applied Mathematics, DOI: 10.1016/j.padiff.2025.101200

  • Title: Dynamic Characterization of Parametric Structures and Perturbation Analysis of Blood Flow in the Cranial Arteries
    Authors: Dominic Otoo, Kennedy Mensah, K.A. Adu-Poku, D. Gyamfi, Baaba Abassawah Danquah, Hawa Adusei
    Year: 2024
    Citation: Journal of Fluid Flow, Heat and Mass Transfer, DOI: 10.11159/jffhmt.2024.021

  • Title: Dynamic analysis of Q-fever transmission among cattle in the Tropical Savannah Grassland zone of Ghana (Preprint)
    Authors: Dominic Otoo, Kennedy Mensah, Eugene Adjei, Baaba Abassawah Danquah, Hawa Adusei, Razak G. Chuaya
    Year: 2024
    Citation: bioRxiv Preprint, DOI: 10.1101/2024.11.15.623876

Tamar Schlick | Mathematics | Best Researcher Award

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Prof. Tamar Schlick | Mathematics | Best Researcher Award

Professor at New York University, New York

Tamar Schlick is a distinguished professor at New York University, affiliated with both the Department of Chemistry and the Courant Institute of Mathematical Sciences. With a profound background in applied mathematics, her research centers on molecular modeling and simulations, focusing on long-time processes in nucleic acids and proteins. Her interdisciplinary approach bridges the gap between microscopic structures and macroscopic functional observations, contributing significantly to the fields of biochemistry and computational biology.

Profile

Scholar Profile

Education 🎓

Dr. Schlick earned her Ph.D. in Applied Mathematics from the Courant Institute at NYU in 1987, with a thesis on modeling and minimization techniques for predicting the three-dimensional structures of large biological molecules. She also holds an M.S. in Applied Mathematics (1984) and a B.S. in Mathematics (1982) from Wayne State University, where she was a member of the Liberal Arts Honors Program. Her education includes specialized training in supercomputer hardware and optimization techniques.

Experience 💼

Dr. Schlick has held multiple academic positions at NYU since 1989, where she began as an Assistant Professor and has progressed to a full Professor. She has also served as the Director of Graduate Studies in the Chemistry Department and the Director of the multidepartmental Computational Biology Doctoral Program. Her prior experience includes a postdoctoral fellowship at the Courant Institute, where she focused on potential energy calculations of nucleic acids, as well as research at the Weizmann Institute of Science in Israel.

Research Interests 🔬

Dr. Schlick’s research explores the application of molecular modeling and dynamics simulations to biological processes. Her work involves studying DNA/protein interactions in regulatory processes, transcription initiation, DNA repair, and chromatin dynamics. Recently, she has developed graph theory applications to represent RNA secondary structures, aiming to design novel RNA motifs for biomedicine and exploring the conformations and mechanisms of the SARS-CoV-2 viral frameshifting RNA.

Awards 🏆

Throughout her career, Dr. Schlick has received numerous accolades, including the 2022 Pitzer Lecture in Outstanding Theoretical Chemistry and the 2022 Keynote Lecture at the German Conference on Cheminformatics. Her contributions have been recognized with multiple fellowships from prestigious organizations, such as the Society for Industrial and Applied Mathematics and the American Physical Society. She has been honored as a Guggenheim Fellow and received the Outstanding Woman in Science Award.

Publications 📚

Dr. Schlick has authored numerous influential publications. Some of her notable works include:

These publications have significantly impacted the fields of computational chemistry and molecular biology.

Conclusion 📝

Dr. Tamar Schlick’s extensive contributions to the understanding of biological molecules through applied mathematics and computational methods highlight her as a leader in the field. Her innovative research, commitment to education, and recognition through numerous awards underscore her influence and dedication to advancing science.

Dennis Peralta | Mathematics | Best Researcher Award

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Prof. Dennis Peralta | Mathematics | Best Researcher Award

Tecnico de Investigación, UNEMI, Ecuador

Dennis Alfredo Peralta Gamboa is an accomplished Research Technician at the Universidad Estatal de Milagro in Ecuador, specializing in data science and telecommunications. With a strong background in electrical and electronic engineering, Dennis has developed expertise in machine learning, data analysis, and statistical modeling, contributing significantly to his university’s research initiatives. 🌐👨‍💼

Publication Profile

ORCID

Strengths for the Award:

  • Diverse Expertise: Dennis has demonstrated strong technical skills in various fields, including electronic engineering with a specialization in telecommunications, and an impressive focus on data science and machine learning. His extensive training in statistical modeling, data analysis, and automation indicates a strong ability to conduct high-quality, impactful research.
  • Continuous Learning: He has completed numerous certifications and training programs in machine learning, data science, and statistical models. This shows his commitment to staying updated with the latest technologies and methodologies, which is crucial for innovative research.
  • Published Work: His accepted publication in a Scopus Q2 journal is a notable achievement. The research article focuses on user experience with chatbots in higher education, demonstrating his contribution to solving real-world problems through research.
  • Industry and Academic Experience: Dennis has professional experience in both industry and academia, including his current role as a Research Technician at the Universidad Estatal de Milagro. This combination of skills is beneficial for practical application and innovative academic research.

Areas for Improvement:

  • Focus on Research Output: While Dennis has several training courses and certifications, his research output in terms of peer-reviewed journal articles could be expanded. More publications in indexed journals with high impact factors would strengthen his research portfolio.
  • Collaborative Research: There is limited mention of collaborative research projects. Engaging in international collaborations or participating in multidisciplinary projects can elevate his research profile and contribute to a broader range of impactful outcomes.
  • Leadership in Research: Taking on leadership roles in research projects, such as principal investigator positions or directing research initiatives, would highlight his ability to lead teams and manage research outcomes.

Education

Dennis holds a Master’s degree in Applied Data Science from Iexe Universidad and a Bachelor’s degree in Electronic Engineering with a specialization in Telecommunications from Escuela Superior Politécnica del Litoral (2020). His education also includes a high school diploma in Physics and Mathematics (2008). 🎓📊

Experience

With a diverse professional background, Dennis has held several technical roles, including positions as an electrical maintenance assistant at PAPELERA NACIONAL SOCIEDAD ANÓNIMA and a teaching technician at Universidad Estatal de Milagro. He has also worked as a maintenance technician for municipal organizations. Currently, he serves as a Research Technician in the Faculty of Research at Universidad Estatal de Milagro. 🛠️💼

Research Focus

Dennis’s research primarily revolves around data science, machine learning, and statistical modeling. He has a keen interest in the application of these technologies for educational enhancement, including the use of chatbots to improve user experience in higher education. 📊🤖

Awards and Honors

Dennis has not listed any specific awards or honors, but his acceptance of a publication in a Scopus-indexed Q2 journal highlights his growing contributions to the academic community. 🏅🎖️

Publications (Top Notes)

“Unveiling the Core Constructs: A Statistical Approach to Evaluating User Experience with Chatbots in Higher Education (A Case Study from a University in Ecuador)”
Published in Journal of Infrastructure, Policy and Development | Indexed in Scopus, Q2 (Accepted) | Cited by

Conclusion:

Dennis Alfredo Peralta Gamboa has a solid foundation in data science, machine learning, and electronic engineering. His technical knowledge and commitment to continuous learning make him a promising candidate for the Best Researcher Award. However, expanding his research output, engaging in more collaborations, and stepping into leadership roles could further enhance his chances. With these improvements, he has the potential to become a leading researcher in his field.

 

Herbert Batte | Mathematics | Best Research Article Award

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Dr.  Herbert Batte | Mathematics | Best Research Article Award

Dr. Herbert Batte, Makerere University , Uganda

 

Dr. Herbert Batte is a distinguished mathematician recognized for his contributions to the field of mathematics, particularly in applied mathematics and mathematical modeling. He has authored numerous research articles that address complex mathematical problems, earning him the Best Research Article Award for his innovative approach and impactful findings. With a strong commitment to education and mentorship, Batte inspires students and colleagues alike through his dedication to advancing mathematical knowledge and its applications in real-world scenarios.

 

Publication Profile

Scopus Profile

 

Education 

Dr. Herbert Batte is a dedicated mathematician currently pursuing his PhD in Mathematics at the University of the Witwatersrand, focusing on linear recurrence sequences and Diophantine equations. He is also a PhD candidate at Makerere University, where he studies solutions to exponential Diophantine equations involving Lucas sequences, perfect powers, and repdigits. Dr. Batte holds an MSc in Mathematics from Makerere University, where he achieved a CGPA of 4.52, researching non-linear Diophantine equations. His academic journey began with a BSc (Honours) in Education (Physics, Mathematics), also from Makerere, graduating with a CGPA of 4.60. Dr. Batte has developed strong analytical, problem-solving, and data interpretation skills, along with proficiency in various mathematical and computational tools. His educational background includes advanced coursework in algebraic topology, measure theory, and probability theory, equipping him with a comprehensive understanding of both theoretical and applied mathematics.

Experience

Dr. Herbert Batte has valuable teaching experience in various educational settings. He began as an intern at Buddo Secondary School in May 2017, followed by an internship at Makerere College School from May to August 2018. These early roles allowed him to develop his pedagogical skills and gain hands-on experience in classroom management. From August 2018 to 2022, Dr. Batte served as a lecturer at Ndejje University in Kampala, where he taught mathematics courses, mentored students, and contributed to curriculum development. His experience in these roles has strengthened his commitment to education and his ability to inspire the next generation of mathematicians.

Awards and Scholarships

Dr. Herbert Batte has received several prestigious awards and scholarships throughout his academic journey. He was awarded the NRF Fund for 2024–2025, which provides full funding for his PhD studies in Mathematics at the University of the Witwatersrand in Johannesburg, South Africa. In January 2024, he also received funding from CoeMASS to support his research at the same institution. Prior to these achievements, he was awarded fully funded scholarships from the EAUMP to pursue his PhD studies at Makerere University from 2022 to 2025, as well as for his MSc studies from 2019 to 2021. These scholarships reflect his academic excellence and commitment to advancing mathematical research.

Skills

Dr. Herbert Batte possesses a solid foundation in computer skills, with intermediate proficiency in programming languages and mathematical software, including C, MATLAB, LaTeX, SageMath, Python, Mathematica, and R. He is also adept at using various operating systems, such as Windows, Linux, and Ubuntu Desktop, as well as the Microsoft Office suite. This diverse skill set enables him to effectively analyze data, conduct mathematical modeling, and present research findings in a clear and professional manner.

Publication Top Notes

Phalaagae, P., Zungeru, A.M., Sigweni, B., Batte, H., & Eyobu, O.S. (2024). An energy efficient authentication scheme for cluster-based wireless IoT sensor networks. Scientific African, 25, e02287.

Batte, H., & Luca, F. (2024). Solutions to a Pillai-Type Equation Involving Tribonacci Numbers and S-Units. Mediterranean Journal of Mathematics, 21(5), 159.

Batte, H., & Luca, F. (2024). On the largest prime factor of the k–generalized Lucas numbers. Boletin de la Sociedad Matematica Mexicana, 30(2), 33.

Batte, H., Ddamulira, M., Kasozi, J., & Luca, F. (2024). On the exponential diophantine equation Unx + Un+1x = Um. Ramanujan Journal, 64(1), 153–184.

Batte, H., Ddamulira, M., Kasozi, J., & Luca, F. (2022). On the multiplicity in Pillai’s problem with Fibonacci numbers and powers of a fixed prime. Glasnik Matematicki, 57(2), 185–201.

Batte, H., Chalebgwa, T.P., & Ddamulira, M. (2022). Perrin numbers that are concatenations of two repdigits. Arabian Journal of Mathematics, 11(3), 469–478.